Thinking Machines valuation surges to $40B amid $10B fundraising discussions

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Thinking Machines Lab, founded by former OpenAI CTO Mira Murati, is in the news for securing project funding as it aims to raise $10 billion at a $400 billion pre-money valuation. Accel is leading the round, with NVIDIA potentially participating. This valuation represents a fourfold increase from its $100 billion valuation in 2025. The company currently generates tens of millions annually through its Tinker platform. It recently partnered with NVIDIA for computing resources and plans to use the funds for model training, server rentals, and hiring. Additional token listings are expected as the company scales.
ME AI News, Dongcha Beating AI Brief: Thinking Machines Lab, founded by former OpenAI CTO Mira Murati, is currently negotiating a new funding round. The company plans to raise at least $1 billion, with a pre-money valuation of at least $40 billion. Existing investor Accel is in talks to lead the round, and NVIDIA is also considering participation. The deal has not yet been finalized. This valuation is significantly higher than the previous round. When Thinking Machines raised $2 billion last year, its pre-money valuation was $10 billion and post-money valuation was $12 billion. On the same pre-money basis, the new valuation is at least four times higher than it was over a year ago. However, the company had previously sought a valuation exceeding $50 billion at the end of last year, and this round reflects a modest adjustment downward. The company has already begun generating substantial revenue, with annualized income reaching hundreds of millions of dollars. Revenue primarily comes from Tinker, where customers pay to access its computing power and tools to fine-tune AI models on their own data. The company’s first self-developed open-weight model, Inkling, has already been integrated into Tinker. This year, Thinking Machines also signed a long-term computing power agreement with NVIDIA, planning to deploy at least 1GW of Vera Rubin systems, with NVIDIA making an additional investment. The new funding round will continue to support model training, server leasing, and hiring. (Source: BlockBeats)
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